Overview Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science,
Responsibilities: Design, develop, and deploy predictive and prescriptive models to support customer experience optimization, demand forecasting, operations efficiency, and customer behavior analysis. Apply a range of machine learning and AI techniques, including classical algorithms (e.g., Gradient
Job Description As a Data Scientist, you will collaborate with a global, high‑performing team to design, build, and operationalize advanced data science and machine learning solutions. Your work will support customer experience, demand generation/forecasting, operations optimization,
Career Development Plan Automation at scale (approximately 80%), complemented by manual and exploratory testing (approximately 20%), and plays a critical role in supporting enterprise delivery initiatives within Agile or hybrid environments. The QA Automation Engineer collaborates closely with